Introduction: Digital technologies present tremendous opportunities for enabling long-term measurement of mental health in the general population. Emerging studies have established preliminary efficacy of collecting self-report data digitally. However, a key challenge when developing a new self-report instrument is navigating the abundance of existing instruments to select relevant constructs for measurements. This review is a precursor to developing a novel future integrated digital instrument for repeated measurements. We interrogate the literature as the first step towards optimal measurement of the multifaceted mental health concept, in the context of digital repeated measurement. This review aims to identify (1) digital self-report instruments administered repeatedly to measure the mental health of the general adult population; (2) their structure and format; (3) their psychometric properties; (4) their usage in empirical studies; and (5) the constructs these instruments were designed to measure (as characterised in the original publication), and the constructs the instruments have been used to measure in the identified empirical studies.

Methods And Analysis: Five major electronic databases will be searched. Studies administering mental health instruments (in English) repeatedly to community dwellers in the general adult population are eligible. A reviewer will preliminarily screen for eligible studies. Then, two reviewers will independently screen the full text of the eligible articles and extract data. Both reviewers will resolve any disagreement through discussion or with a third reviewer. After the data extraction, a reviewer will manually search for the structure, format, psychometric properties and the original constructs these instruments were developed to measure. This review will synthesise the results in a narrative approach. The reporting in this review will be guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist.

Ethics And Dissemination: Ethical approval is not required as no data will be collected. Findings of the systematic review will be disseminated through peer-reviewed publications and conference presentations.

Prospero Registration Number: CRD42022306547.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884895PMC
http://dx.doi.org/10.1136/bmjopen-2022-065162DOI Listing

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